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An exploratory method for estimating the changing speed of epidemic waves from historical data : Communicable disease

Identifieur interne : 000041 ( PascalFrancis/Curation ); précédent : 000040; suivant : 000042

An exploratory method for estimating the changing speed of epidemic waves from historical data : Communicable disease

Auteurs : Andrew D. Cliff [Royaume-Uni] ; Peter Haggett [Royaume-Uni] ; Matthew Smallman-Raynor [Royaume-Uni]

Source :

RBID : Pascal:08-0163570

Descripteurs français

English descriptors

Abstract

Background Historical data are necessary to establish long-term trends in disease incidence but pose analytical problems since their accuracy and reliability may be poorly specified. Methods A robust measure of the spatial velocity, R0A, of epidemic waves from space-time series is proposed using binary data. The method was applied to the historical records of influenza morbidity for the island of Iceland over a 61-year period of influenza seasons from 1915-16 to 1975-76. Results The onset of influenza waves tended to speed up over the period studied and the three pandemic waves associated with viral shifts in influenza A [Spanish influenza H1N1 (1918-19), Asian influenza H2N2 (1957-58) and Hong Kong influenza H3N2 (1968-69)] spread more rapidly around the island and struck earlier in the influenza season than did inter-pandemic waves, even when the latter were equally intensive as measured by total number of cases and case incidence. Discussion The potential for using R0A in a real-time context is explored using French influenza data. Conclusions The new measure of wave velocity appears to be applicable to those historical time series where breakdown into regional or local areas is available. The study is being extended to (i) other countries where similar influenza time series are available and (ii) to other diseases within Iceland.
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A11 01  1    @1 CLIFF (Andrew D.)
A11 02  1    @1 HAGGETT (Peter)
A11 03  1    @1 SMALLMAN-RAYNOR (Matthew)
A14 01      @1 Department of Geography, University of Cambridge @2 Cambridge CB2 3EN @3 GBR @Z 1 aut.
A14 02      @1 Institute for Advanced Studies, University of Bristol, BS8 IUR @2 Bristol @3 GBR @Z 2 aut.
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C01 01    ENG  @0 Background Historical data are necessary to establish long-term trends in disease incidence but pose analytical problems since their accuracy and reliability may be poorly specified. Methods A robust measure of the spatial velocity, R0A, of epidemic waves from space-time series is proposed using binary data. The method was applied to the historical records of influenza morbidity for the island of Iceland over a 61-year period of influenza seasons from 1915-16 to 1975-76. Results The onset of influenza waves tended to speed up over the period studied and the three pandemic waves associated with viral shifts in influenza A [Spanish influenza H1N1 (1918-19), Asian influenza H2N2 (1957-58) and Hong Kong influenza H3N2 (1968-69)] spread more rapidly around the island and struck earlier in the influenza season than did inter-pandemic waves, even when the latter were equally intensive as measured by total number of cases and case incidence. Discussion The potential for using R0A in a real-time context is explored using French influenza data. Conclusions The new measure of wave velocity appears to be applicable to those historical time series where breakdown into regional or local areas is available. The study is being extended to (i) other countries where similar influenza time series are available and (ii) to other diseases within Iceland.
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C03 04  X  ENG  @0 Iceland @2 NG @5 06
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C03 08  X  ENG  @0 Human @5 12
C03 08  X  SPA  @0 Hombre @5 12
C03 09  X  FRE  @0 Pandémie @4 CD @5 96
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C07 01  X  ENG  @0 Viral disease
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C07 03  X  ENG  @0 Atlantic Ocean Islands @2 NG
C07 03  X  SPA  @0 Islas Atlántico @2 NG
C07 04  X  FRE  @0 Santé publique @5 37
C07 04  X  ENG  @0 Public health @5 37
C07 04  X  SPA  @0 Salud pública @5 37
N21       @1 098

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Le document en format XML

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<div type="abstract" xml:lang="en">Background Historical data are necessary to establish long-term trends in disease incidence but pose analytical problems since their accuracy and reliability may be poorly specified. Methods A robust measure of the spatial velocity, R
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(1918-19), Asian influenza H
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